Object localization in images via fusion of SFM and YOLO
This study introduces a new framework that combines Structure from Motion (SfM) algorithms with an improved YOLOv8 model to precisely locate objects in 3D space using 2D images. The method was tested on UAV-captured vehicle footage and proved effective for geospatial coordinate acquisition.
Why it matters
Advancements in computer vision and object localization are essential for the development of autonomous driving and drone navigation systems.
Scientific Reports ( 2026 ) Cite this article
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